Description: Insurance companies utilize derivatives in a variety of ways to manage and mitigate risks that are inherent in their investment or liability portfolios. They can be characterized by three main features: medium long-term duration; large volumes; and significant market risk exposure. Given the persistent low interest rate environment across the curve since the 2008 financial crisis, large companies need to hedge their liabilities, as illustrated by the significant recent increase from $786 billion as of fiscal year 2010 to $1,885 billion as of FY 2014 by insurance companies.As the Variable Annuities (VA) guarantees embedded within those liabilities hold a strong convex risk profile with respect to the underlying stock, VA carriers need to buy some convex hedge assets such as options to match the liability risk profile to improve hedge effectiveness, implying the growing cost of hedging. Such market impact of the quantity on the cost of hedging is further magnified in the recent period with the short-lived, but sharp transitions from low volatility to high volatility, when market volatility suddenly increases, even when there were no well-known fundamental catalysts. This partially stems from the growing managed volatility funds embedded within VA ($bn 400).VA carriers willing to trade a large quantity of options will see such market impact as an important dilemma, as the cost of placing one large order to close position will be far greater than the sum of infinitely small orders differed in time. In that context, managing market impact requires introducing an explicit market impact function, the influence of which the agent will try to minimize. The effect on hedge asset prices significantly depends on whether there is or not significant delta hedging activity. In case of no significant delta hedging activity, the risk appetite has a significant influence on the optimal execution strategy. If there is significant delta hedging activity, the optimal trading involve

Description: The Investment Symposium is a day-and-a-half long seminar that will focus on the issues and questions faced by investors and risk managers, especially related to insurance companies and retirement plans. Presenters will discuss the big picture issues and explore practical solutions to today’s challenges. Experts will share new approaches to portfolio management and cutting edge research in asset-liability management. Technology, regulation and the economic environment will

Description: What is the impact of aging populations on economic growth and interest rates?” “Are low interest rates and inflation a short-term phenomenon?” “How will returns from different asset classes be impacted by future demographic trends?” “What are the differences between different countries and regions around the world?”

Description: From a panel discussion session at the 2000 Valuation Actuary Symposium held in Washington DC, September 14-15, 2000 Overview of New York Regulation 163, including the limits on different types of derivative activities, the Derivative Use Plan required by New York, and the reporting and control requirements.

Description: From the 41st ARC: a presentation focusing on risk management of a pension plan whose benefit is the greater of a defined benefit DB and a defined contribution DC plan. Hedging strategies are derived and illustrated, recognizing that the DB guarantee is like an option.

Description: Discusses the types of risks that are considered derivatives, the pricing of a derivative, how to manage derivative risks once they are on your books, and some specific examples of how companies are managing them. From the 2002 Record of Society of Actuaries, Volume 28, No. 3. Session 93PD of the Boston Annual Meeting.

Description: Presented at October 1996 Annual Meeting. The SOA has co-sponsored a research project on the use of derivatives by the insurance industry, using annual statement data reported by insurance companies. This session presents the results of the study, and implications with respect to sufficiency of RBC are discussed.

Description: In December 2007, Goldman Sachs launched a product called QxX index swap, which is designed to allow market participants to hedge or gain exposure to longevity and mortality risks. This presentation offers a quantitative analysis of this brand new financial innovation. First of all, the presentation sets up a risk-neutral framework to price QxX index swaps. This framework, which is based on the dynamics of death rates under a two-factor stochastic mortality model in a risk-adjusted probability measure, yields prices [spreads] that are fairly close to the spreads that Goldman Sachs currently offers. The presentation then explores the uncertainty involved in this model-based pricing framework. Specifically, it studies parameter risk by using Markov Chain Monte Carlo [MCMC] and model risk by examining structural changes in mortality dynamics. The results indicate that both model risk and parameter risk are significant. Actuaries should therefore be aware of these issues when placing a value on a longevity index swap.

Description: In this session, panelists will lift the curtain on the main features of investment grade (IG) private placement bonds and below investment grade (BIG) private debt and compare them with available public bond and bank loan alternatives. The panel will examine the motivations for insurance companies and pension funds to invest in private debt and the legal, diligence and operational requirements to maintain a private debt portfolio. We will also conduct a 2017 private placement market review and look forward to 2018’s likely new USD and non-USD issuance and which industry sectors are likely to issue. This session will also cover their risk and reward characteristics, and the structural intricacies of the various IG and BIG debt types and whether there is sufficient compensation for illiquidity and other risks.

Description: This session will serve as a guide on how to implement a factor-based optimization in the Strategic Asset Allocation process. The session will review a factor-based investing approach and cover the top-down macroeconomic drivers of risk and return for various asset classes. We will then illustrate implementation of this investing approach and determination of an optimal Strategic Asset Allocation through a pension fund case study. There will be an interactive element to the session as the factor sensitivities of various portfolios can be examined in real-time.